Overview

Dataset statistics

Number of variables17
Number of observations267603
Missing cells84092
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 MiB
Average record size in memory136.0 B

Variable types

Numeric5
Text8
Categorical3
DateTime1

Alerts

Latitude is highly overall correlated with StateHigh correlation
Longitude is highly overall correlated with StateHigh correlation
State is highly overall correlated with Latitude and 1 other fieldsHigh correlation
State is highly imbalanced (> 99.9%)Imbalance
Facility Type has 5114 (1.9%) missing valuesMissing
Violations has 73364 (27.4%) missing valuesMissing
Zip is highly skewed (γ1 = -111.1827429)Skewed
Inspection ID has unique valuesUnique

Reproduction

Analysis started2024-02-15 16:45:08.068761
Analysis finished2024-02-15 16:46:15.502128
Duration1 minute and 7.43 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

UNIQUE 

Distinct267603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1729946.1
Minimum44247
Maximum2589562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:15.551952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44247
5-th percentile327242.1
Q11307369.5
median1950867
Q32357001.5
95-th percentile2575762.9
Maximum2589562
Range2545315
Interquartile range (IQR)1049632

Descriptive statistics

Standard deviation719474.86
Coefficient of variation (CV)0.41589438
Kurtosis-0.65210317
Mean1729946.1
Median Absolute Deviation (MAD)547189
Skewness-0.62804959
Sum4.6293877 × 1011
Variance5.1764407 × 1011
MonotonicityNot monotonic
2024-02-15T11:46:15.614580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2589562 1
 
< 0.1%
1199760 1
 
< 0.1%
1532257 1
 
< 0.1%
1439668 1
 
< 0.1%
1532231 1
 
< 0.1%
1453831 1
 
< 0.1%
1515865 1
 
< 0.1%
1516015 1
 
< 0.1%
1532367 1
 
< 0.1%
1523187 1
 
< 0.1%
Other values (267593) 267593
> 99.9%
ValueCountFrequency (%)
44247 1
< 0.1%
44248 1
< 0.1%
44249 1
< 0.1%
44250 1
< 0.1%
44251 1
< 0.1%
44252 1
< 0.1%
44253 1
< 0.1%
44254 1
< 0.1%
44255 1
< 0.1%
44256 1
< 0.1%
ValueCountFrequency (%)
2589562 1
< 0.1%
2589555 1
< 0.1%
2589553 1
< 0.1%
2589551 1
< 0.1%
2589549 1
< 0.1%
2589547 1
< 0.1%
2589536 1
< 0.1%
2589535 1
< 0.1%
2589534 1
< 0.1%
2589531 1
< 0.1%

DBA Name
Text

Distinct32170
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:15.729128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length49
Mean length18.731875
Min length1

Characters and Unicode

Total characters5012706
Distinct characters83
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5939 ?
Unique (%)2.2%

Sample

1st rowSUBWAY SANDWICH & SALAD
2nd rowGEORGE E TAYLOR CHILD DEVELOPMENT CENTER
3rd rowCASA CENTRAL COMMUNITY SERVICE
4th rowDrummond
5th rowSTICKY KISS
ValueCountFrequency (%)
inc 27081
 
3.3%
26487
 
3.3%
restaurant 15485
 
1.9%
food 11424
 
1.4%
the 10940
 
1.3%
cafe 8793
 
1.1%
chicago 7633
 
0.9%
grill 7325
 
0.9%
and 6538
 
0.8%
pizza 6466
 
0.8%
Other values (18943) 685441
84.2%
2024-02-15T11:46:15.923282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
551337
 
11.0%
A 412117
 
8.2%
E 408306
 
8.1%
R 299403
 
6.0%
I 289357
 
5.8%
O 286429
 
5.7%
N 279063
 
5.6%
S 275608
 
5.5%
T 247509
 
4.9%
C 232584
 
4.6%
Other values (73) 1730993
34.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4052292
80.8%
Space Separator 551337
 
11.0%
Lowercase Letter 195222
 
3.9%
Other Punctuation 126721
 
2.5%
Decimal Number 74780
 
1.5%
Dash Punctuation 9054
 
0.2%
Open Punctuation 1464
 
< 0.1%
Close Punctuation 1464
 
< 0.1%
Math Symbol 337
 
< 0.1%
Connector Punctuation 18
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 412117
 
10.2%
E 408306
 
10.1%
R 299403
 
7.4%
I 289357
 
7.1%
O 286429
 
7.1%
N 279063
 
6.9%
S 275608
 
6.8%
T 247509
 
6.1%
C 232584
 
5.7%
L 213946
 
5.3%
Other values (16) 1107970
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 23847
12.2%
a 21129
10.8%
o 16426
 
8.4%
n 15964
 
8.2%
r 15296
 
7.8%
i 13714
 
7.0%
l 12234
 
6.3%
t 12140
 
6.2%
s 10358
 
5.3%
c 8074
 
4.1%
Other values (16) 46040
23.6%
Other Punctuation
ValueCountFrequency (%)
' 41708
32.9%
. 24405
19.3%
& 21607
17.1%
, 17293
13.6%
# 15171
 
12.0%
/ 5050
 
4.0%
@ 1047
 
0.8%
! 311
 
0.2%
: 51
 
< 0.1%
? 50
 
< 0.1%
Other values (3) 28
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 11339
15.2%
1 11058
14.8%
3 9552
12.8%
7 7537
10.1%
5 7273
9.7%
0 6945
9.3%
4 6541
8.7%
8 5226
7.0%
6 5012
6.7%
9 4297
 
5.7%
Space Separator
ValueCountFrequency (%)
551337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9054
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1464
100.0%
Math Symbol
ValueCountFrequency (%)
+ 337
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4247514
84.7%
Common 765192
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 412117
 
9.7%
E 408306
 
9.6%
R 299403
 
7.0%
I 289357
 
6.8%
O 286429
 
6.7%
N 279063
 
6.6%
S 275608
 
6.5%
T 247509
 
5.8%
C 232584
 
5.5%
L 213946
 
5.0%
Other values (42) 1303192
30.7%
Common
ValueCountFrequency (%)
551337
72.1%
' 41708
 
5.5%
. 24405
 
3.2%
& 21607
 
2.8%
, 17293
 
2.3%
# 15171
 
2.0%
2 11339
 
1.5%
1 11058
 
1.4%
3 9552
 
1.2%
- 9054
 
1.2%
Other values (21) 52668
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5012706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
551337
 
11.0%
A 412117
 
8.2%
E 408306
 
8.1%
R 299403
 
6.0%
I 289357
 
5.8%
O 286429
 
5.7%
N 279063
 
5.6%
S 275608
 
5.5%
T 247509
 
4.9%
C 232584
 
4.6%
Other values (73) 1730993
34.5%

AKA Name
Text

Distinct30619
Distinct (%)11.5%
Missing2473
Missing (%)0.9%
Memory size2.0 MiB
2024-02-15T11:46:16.032872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length49
Mean length17.914834
Min length2

Characters and Unicode

Total characters4749760
Distinct characters87
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5781 ?
Unique (%)2.2%

Sample

1st rowSUBWAY SANDWICH & SALAD
2nd rowGEORGE E TAYLOR CHILD DEVELOPMENT CENTER
3rd rowCASA CENTRAL COMMUNITY SERVICE
4th rowDrummond
5th rowSTICKY KISS
ValueCountFrequency (%)
24606
 
3.2%
restaurant 14774
 
1.9%
inc 12548
 
1.6%
food 11140
 
1.4%
the 10539
 
1.4%
cafe 9470
 
1.2%
grill 7459
 
1.0%
school 6917
 
0.9%
pizza 6609
 
0.9%
la 6335
 
0.8%
Other values (18272) 658059
85.6%
2024-02-15T11:46:16.212074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509417
 
10.7%
A 401921
 
8.5%
E 397747
 
8.4%
R 288189
 
6.1%
O 274297
 
5.8%
S 268755
 
5.7%
I 263884
 
5.6%
N 256185
 
5.4%
T 239429
 
5.0%
C 206697
 
4.4%
Other values (77) 1643239
34.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3882835
81.7%
Space Separator 509417
 
10.7%
Lowercase Letter 182226
 
3.8%
Other Punctuation 104674
 
2.2%
Decimal Number 52433
 
1.1%
Dash Punctuation 8800
 
0.2%
Open Punctuation 4482
 
0.1%
Close Punctuation 4460
 
0.1%
Math Symbol 371
 
< 0.1%
Connector Punctuation 31
 
< 0.1%
Other values (3) 31
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 22934
12.6%
a 19518
10.7%
o 15186
 
8.3%
n 14417
 
7.9%
r 14081
 
7.7%
i 12845
 
7.0%
l 12089
 
6.6%
t 11100
 
6.1%
s 9061
 
5.0%
c 7318
 
4.0%
Other values (17) 43677
24.0%
Uppercase Letter
ValueCountFrequency (%)
A 401921
 
10.4%
E 397747
 
10.2%
R 288189
 
7.4%
O 274297
 
7.1%
S 268755
 
6.9%
I 263884
 
6.8%
N 256185
 
6.6%
T 239429
 
6.2%
C 206697
 
5.3%
L 201250
 
5.2%
Other values (16) 1084481
27.9%
Other Punctuation
ValueCountFrequency (%)
' 42772
40.9%
& 20834
19.9%
. 14740
 
14.1%
# 9161
 
8.8%
/ 8034
 
7.7%
, 7982
 
7.6%
@ 738
 
0.7%
! 283
 
0.3%
? 47
 
< 0.1%
: 33
 
< 0.1%
Other values (3) 50
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 8994
17.2%
2 8032
15.3%
3 6968
13.3%
7 5638
10.8%
5 4883
9.3%
4 4722
9.0%
0 4486
8.6%
6 3162
 
6.0%
8 2990
 
5.7%
9 2558
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 4477
99.9%
[ 5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4455
99.9%
] 5
 
0.1%
Space Separator
ValueCountFrequency (%)
509417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8800
100.0%
Math Symbol
ValueCountFrequency (%)
+ 371
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Other Number
ValueCountFrequency (%)
½ 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4065061
85.6%
Common 684699
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 401921
 
9.9%
E 397747
 
9.8%
R 288189
 
7.1%
O 274297
 
6.7%
S 268755
 
6.6%
I 263884
 
6.5%
N 256185
 
6.3%
T 239429
 
5.9%
C 206697
 
5.1%
L 201250
 
5.0%
Other values (43) 1266707
31.2%
Common
ValueCountFrequency (%)
509417
74.4%
' 42772
 
6.2%
& 20834
 
3.0%
. 14740
 
2.2%
# 9161
 
1.3%
1 8994
 
1.3%
- 8800
 
1.3%
/ 8034
 
1.2%
2 8032
 
1.2%
, 7982
 
1.2%
Other values (24) 45933
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4749688
> 99.9%
None 72
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509417
 
10.7%
A 401921
 
8.5%
E 397747
 
8.4%
R 288189
 
6.1%
O 274297
 
5.8%
S 268755
 
5.7%
I 263884
 
5.6%
N 256185
 
5.4%
T 239429
 
5.0%
C 206697
 
4.4%
Other values (74) 1643167
34.6%
None
ValueCountFrequency (%)
½ 24
33.3%
¿ 24
33.3%
ï 24
33.3%

License #
Real number (ℝ)

Distinct44510
Distinct (%)16.6%
Missing18
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1721777
Minimum0
Maximum9999999
Zeros691
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:16.286803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17602
Q11336796
median2048785
Q32369187
95-th percentile2766632
Maximum9999999
Range9999999
Interquartile range (IQR)1032391

Descriptive statistics

Standard deviation927007.62
Coefficient of variation (CV)0.53840167
Kurtosis-0.42600222
Mean1721777
Median Absolute Deviation (MAD)420444
Skewness-0.8968191
Sum4.6072171 × 1011
Variance8.5934313 × 1011
MonotonicityNot monotonic
2024-02-15T11:46:16.350666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 691
 
0.3%
1354323 198
 
0.1%
14616 181
 
0.1%
1574001 86
 
< 0.1%
60184 64
 
< 0.1%
2083833 62
 
< 0.1%
1974745 59
 
< 0.1%
1142451 59
 
< 0.1%
1884255 55
 
< 0.1%
1596210 54
 
< 0.1%
Other values (44500) 266076
99.4%
ValueCountFrequency (%)
0 691
0.3%
1 1
 
< 0.1%
2 17
 
< 0.1%
9 15
 
< 0.1%
40 21
 
< 0.1%
43 1
 
< 0.1%
62 18
 
< 0.1%
85 5
 
< 0.1%
99 13
 
< 0.1%
104 1
 
< 0.1%
ValueCountFrequency (%)
9999999 1
 
< 0.1%
8700606 3
< 0.1%
5852857 1
 
< 0.1%
4076132 2
< 0.1%
4075924 2
< 0.1%
4075688 1
 
< 0.1%
4075628 2
< 0.1%
4075597 1
 
< 0.1%
4075446 1
 
< 0.1%
4075357 2
< 0.1%

Facility Type
Text

MISSING 

Distinct513
Distinct (%)0.2%
Missing5114
Missing (%)1.9%
Memory size2.0 MiB
2024-02-15T11:46:16.408777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length10
Mean length11.105433
Min length3

Characters and Unicode

Total characters2915054
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)< 0.1%

Sample

1st rowRestaurant
2nd rowDaycare (2 - 6 Years)
3rd rowRestaurant
4th rowSchool
5th rowRestaurant
ValueCountFrequency (%)
restaurant 179895
50.6%
store 33658
 
9.5%
grocery 33519
 
9.4%
school 17320
 
4.9%
daycare 7836
 
2.2%
2 7025
 
2.0%
years 7022
 
2.0%
facility 5871
 
1.7%
services 5807
 
1.6%
children's 5723
 
1.6%
Other values (445) 52126
 
14.7%
2024-02-15T11:46:16.535095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 403299
13.8%
a 403076
13.8%
r 328100
11.3%
e 308659
10.6%
s 202923
7.0%
n 201347
6.9%
R 185020
 
6.3%
u 181311
 
6.2%
o 118469
 
4.1%
93327
 
3.2%
Other values (59) 489523
16.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2409446
82.7%
Uppercase Letter 380984
 
13.1%
Space Separator 93327
 
3.2%
Decimal Number 13498
 
0.5%
Other Punctuation 6625
 
0.2%
Close Punctuation 3875
 
0.1%
Open Punctuation 3875
 
0.1%
Dash Punctuation 3421
 
0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 185020
48.6%
S 60728
 
15.9%
G 35411
 
9.3%
C 13096
 
3.4%
D 10420
 
2.7%
F 8709
 
2.3%
A 8251
 
2.2%
Y 8161
 
2.1%
T 7034
 
1.8%
E 5932
 
1.6%
Other values (16) 38222
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
t 403299
16.7%
a 403076
16.7%
r 328100
13.6%
e 308659
12.8%
s 202923
8.4%
n 201347
8.4%
u 181311
7.5%
o 118469
 
4.9%
c 70719
 
2.9%
y 50864
 
2.1%
Other values (14) 140679
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 7151
53.0%
6 3850
28.5%
1 841
 
6.2%
5 728
 
5.4%
8 703
 
5.2%
0 109
 
0.8%
3 98
 
0.7%
4 16
 
0.1%
7 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
' 5812
87.7%
/ 743
 
11.2%
& 42
 
0.6%
. 22
 
0.3%
, 6
 
0.1%
Space Separator
ValueCountFrequency (%)
93327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3875
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3875
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3421
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2790430
95.7%
Common 124624
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 403299
14.5%
a 403076
14.4%
r 328100
11.8%
e 308659
11.1%
s 202923
7.3%
n 201347
7.2%
R 185020
6.6%
u 181311
6.5%
o 118469
 
4.2%
c 70719
 
2.5%
Other values (40) 387507
13.9%
Common
ValueCountFrequency (%)
93327
74.9%
2 7151
 
5.7%
' 5812
 
4.7%
) 3875
 
3.1%
( 3875
 
3.1%
6 3850
 
3.1%
- 3421
 
2.7%
1 841
 
0.7%
/ 743
 
0.6%
5 728
 
0.6%
Other values (9) 1001
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2915054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 403299
13.8%
a 403076
13.8%
r 328100
11.3%
e 308659
10.6%
s 202923
7.0%
n 201347
6.9%
R 185020
 
6.3%
u 181311
 
6.2%
o 118469
 
4.1%
93327
 
3.2%
Other values (59) 489523
16.8%

Risk
Categorical

Distinct4
Distinct (%)< 0.1%
Missing81
Missing (%)< 0.1%
Memory size2.0 MiB
Risk 1 (High)
196103 
Risk 2 (Medium)
49565 
Risk 3 (Low)
21802 
All
 
52

Length

Max length15
Median length13
Mean length13.287109
Min length3

Characters and Unicode

Total characters3554594
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRisk 1 (High)
2nd rowRisk 1 (High)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 2 (Medium)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 196103
73.3%
Risk 2 (Medium) 49565
 
18.5%
Risk 3 (Low) 21802
 
8.1%
All 52
 
< 0.1%
(Missing) 81
 
< 0.1%

Length

2024-02-15T11:46:16.598164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T11:46:16.646241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
risk 267470
33.3%
1 196103
24.4%
high 196103
24.4%
2 49565
 
6.2%
medium 49565
 
6.2%
3 21802
 
2.7%
low 21802
 
2.7%
all 52
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
534940
15.0%
i 513138
14.4%
R 267470
7.5%
s 267470
7.5%
k 267470
7.5%
( 267470
7.5%
) 267470
7.5%
1 196103
 
5.5%
H 196103
 
5.5%
g 196103
 
5.5%
Other values (13) 580857
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1682252
47.3%
Uppercase Letter 534992
 
15.1%
Space Separator 534940
 
15.0%
Open Punctuation 267470
 
7.5%
Close Punctuation 267470
 
7.5%
Decimal Number 267470
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 513138
30.5%
s 267470
15.9%
k 267470
15.9%
g 196103
 
11.7%
h 196103
 
11.7%
d 49565
 
2.9%
m 49565
 
2.9%
u 49565
 
2.9%
e 49565
 
2.9%
o 21802
 
1.3%
Other values (2) 21906
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
R 267470
50.0%
H 196103
36.7%
M 49565
 
9.3%
L 21802
 
4.1%
A 52
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 196103
73.3%
2 49565
 
18.5%
3 21802
 
8.2%
Space Separator
ValueCountFrequency (%)
534940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 267470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267470
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2217244
62.4%
Common 1337350
37.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 513138
23.1%
R 267470
12.1%
s 267470
12.1%
k 267470
12.1%
H 196103
 
8.8%
g 196103
 
8.8%
h 196103
 
8.8%
d 49565
 
2.2%
m 49565
 
2.2%
u 49565
 
2.2%
Other values (7) 164692
 
7.4%
Common
ValueCountFrequency (%)
534940
40.0%
( 267470
20.0%
) 267470
20.0%
1 196103
 
14.7%
2 49565
 
3.7%
3 21802
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3554594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
534940
15.0%
i 513138
14.4%
R 267470
7.5%
s 267470
7.5%
k 267470
7.5%
( 267470
7.5%
) 267470
7.5%
1 196103
 
5.5%
H 196103
 
5.5%
g 196103
 
5.5%
Other values (13) 580857
16.3%

Address
Text

Distinct19641
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:16.755403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length18.610143
Min length1

Characters and Unicode

Total characters4980130
Distinct characters72
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2049 ?
Unique (%)0.8%

Sample

1st row2352 W CERMAK RD
2nd row3232 W DIVISION ST
3rd row1343 N CALIFORNIA AVE
4th row1845 W Cortland ST
5th row925 N ASHLAND AVE
ValueCountFrequency (%)
ave 123937
 
11.4%
w 106323
 
9.8%
st 97011
 
8.9%
n 80250
 
7.4%
s 59320
 
5.5%
e 21656
 
2.0%
rd 15965
 
1.5%
clark 9480
 
0.9%
western 6758
 
0.6%
halsted 6702
 
0.6%
Other values (8739) 557589
51.4%
2024-02-15T11:46:16.950758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1085444
21.8%
E 303515
 
6.1%
A 287908
 
5.8%
S 245444
 
4.9%
N 209078
 
4.2%
T 204991
 
4.1%
1 201620
 
4.0%
0 163736
 
3.3%
R 159082
 
3.2%
W 155807
 
3.1%
Other values (62) 1963505
39.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2570490
51.6%
Decimal Number 1199228
24.1%
Space Separator 1085444
21.8%
Lowercase Letter 86621
 
1.7%
Dash Punctuation 26086
 
0.5%
Close Punctuation 5503
 
0.1%
Open Punctuation 5503
 
0.1%
Other Punctuation 1252
 
< 0.1%
Math Symbol 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 303515
11.8%
A 287908
11.2%
S 245444
 
9.5%
N 209078
 
8.1%
T 204991
 
8.0%
R 159082
 
6.2%
W 155807
 
6.1%
V 149454
 
5.8%
L 123727
 
4.8%
O 111552
 
4.3%
Other values (16) 619932
24.1%
Lowercase Letter
ValueCountFrequency (%)
a 9746
11.3%
e 9136
10.5%
t 7878
9.1%
n 7562
8.7%
r 7288
8.4%
o 6601
 
7.6%
i 6345
 
7.3%
l 6147
 
7.1%
h 4215
 
4.9%
s 3546
 
4.1%
Other values (15) 18157
21.0%
Decimal Number
ValueCountFrequency (%)
1 201620
16.8%
0 163736
13.7%
2 146237
12.2%
3 145222
12.1%
5 139557
11.6%
4 120685
10.1%
6 88319
7.4%
7 74376
 
6.2%
8 59771
 
5.0%
9 59705
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 720
57.5%
. 369
29.5%
& 133
 
10.6%
' 27
 
2.2%
# 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1085444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26086
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5503
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2657111
53.4%
Common 2323019
46.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 303515
11.4%
A 287908
10.8%
S 245444
 
9.2%
N 209078
 
7.9%
T 204991
 
7.7%
R 159082
 
6.0%
W 155807
 
5.9%
V 149454
 
5.6%
L 123727
 
4.7%
O 111552
 
4.2%
Other values (41) 706553
26.6%
Common
ValueCountFrequency (%)
1085444
46.7%
1 201620
 
8.7%
0 163736
 
7.0%
2 146237
 
6.3%
3 145222
 
6.3%
5 139557
 
6.0%
4 120685
 
5.2%
6 88319
 
3.8%
7 74376
 
3.2%
8 59771
 
2.6%
Other values (11) 98052
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4980130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1085444
21.8%
E 303515
 
6.1%
A 287908
 
5.8%
S 245444
 
4.9%
N 209078
 
4.2%
T 204991
 
4.1%
1 201620
 
4.0%
0 163736
 
3.3%
R 159082
 
3.2%
W 155807
 
3.1%
Other values (62) 1963505
39.4%

City
Text

Distinct79
Distinct (%)< 0.1%
Missing161
Missing (%)0.1%
Memory size2.0 MiB
2024-02-15T11:46:17.025606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length7
Mean length7.0028268
Min length2

Characters and Unicode

Total characters1872850
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)< 0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO
ValueCountFrequency (%)
chicago 267125
99.8%
cchicago 55
 
< 0.1%
schaumburg 28
 
< 0.1%
park 19
 
< 0.1%
evanston 18
 
< 0.1%
maywood 16
 
< 0.1%
grove 14
 
< 0.1%
niles 14
 
< 0.1%
elk 13
 
< 0.1%
village 13
 
< 0.1%
Other values (80) 219
 
0.1%
2024-02-15T11:46:17.153265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 533891
28.5%
A 266828
14.2%
I 266791
14.2%
O 266790
14.2%
H 266752
14.2%
G 266726
14.2%
c 717
 
< 0.1%
o 579
 
< 0.1%
i 578
 
< 0.1%
a 578
 
< 0.1%
Other values (34) 2620
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1869146
99.8%
Lowercase Letter 3595
 
0.2%
Space Separator 92
 
< 0.1%
Decimal Number 12
 
< 0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 533891
28.6%
A 266828
14.3%
I 266791
14.3%
O 266790
14.3%
H 266752
14.3%
G 266726
14.3%
E 213
 
< 0.1%
L 146
 
< 0.1%
R 145
 
< 0.1%
S 122
 
< 0.1%
Other values (15) 742
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
c 717
19.9%
o 579
16.1%
i 578
16.1%
a 578
16.1%
g 577
16.1%
h 556
15.5%
d 2
 
0.1%
r 2
 
0.1%
s 1
 
< 0.1%
l 1
 
< 0.1%
Other values (4) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 4
33.3%
1 4
33.3%
2 4
33.3%
Space Separator
ValueCountFrequency (%)
92
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1872741
> 99.9%
Common 109
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 533891
28.5%
A 266828
14.2%
I 266791
14.2%
O 266790
14.2%
H 266752
14.2%
G 266726
14.2%
c 717
 
< 0.1%
o 579
 
< 0.1%
i 578
 
< 0.1%
a 578
 
< 0.1%
Other values (29) 2511
 
0.1%
Common
ValueCountFrequency (%)
92
84.4%
. 5
 
4.6%
3 4
 
3.7%
1 4
 
3.7%
2 4
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1872850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 533891
28.5%
A 266828
14.2%
I 266791
14.2%
O 266790
14.2%
H 266752
14.2%
G 266726
14.2%
c 717
 
< 0.1%
o 579
 
< 0.1%
i 578
 
< 0.1%
a 578
 
< 0.1%
Other values (34) 2620
 
0.1%

State
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing59
Missing (%)< 0.1%
Memory size2.0 MiB
IL
267533 
IN
 
7
CA
 
2
NY
 
1
WI
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters535088
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 267533
> 99.9%
IN 7
 
< 0.1%
CA 2
 
< 0.1%
NY 1
 
< 0.1%
WI 1
 
< 0.1%
(Missing) 59
 
< 0.1%

Length

2024-02-15T11:46:17.214993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T11:46:17.257467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
il 267533
> 99.9%
in 7
 
< 0.1%
ca 2
 
< 0.1%
ny 1
 
< 0.1%
wi 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 267541
50.0%
L 267533
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
Y 1
 
< 0.1%
W 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 535088
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 267541
50.0%
L 267533
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
Y 1
 
< 0.1%
W 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 535088
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 267541
50.0%
L 267533
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
Y 1
 
< 0.1%
W 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 267541
50.0%
L 267533
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
Y 1
 
< 0.1%
W 1
 
< 0.1%

Zip
Real number (ℝ)

SKEWED 

Distinct121
Distinct (%)< 0.1%
Missing49
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60628.705
Minimum10014
Maximum90504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:17.310919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10014
5-th percentile60605
Q160614
median60625
Q360643
95-th percentile60659
Maximum90504
Range80490
Interquartile range (IQR)29

Descriptive statistics

Standard deviation148.86011
Coefficient of variation (CV)0.0024552745
Kurtosis63946.227
Mean60628.705
Median Absolute Deviation (MAD)14
Skewness-111.18274
Sum1.6221452 × 1010
Variance22159.333
MonotonicityNot monotonic
2024-02-15T11:46:17.381364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60614 9854
 
3.7%
60647 9782
 
3.7%
60657 9076
 
3.4%
60618 8417
 
3.1%
60611 8352
 
3.1%
60622 8183
 
3.1%
60608 8121
 
3.0%
60625 7568
 
2.8%
60607 7349
 
2.7%
60640 7186
 
2.7%
Other values (111) 183666
68.6%
ValueCountFrequency (%)
10014 1
 
< 0.1%
46319 1
 
< 0.1%
46394 1
 
< 0.1%
46410 5
 
< 0.1%
53061 1
 
< 0.1%
60007 13
< 0.1%
60015 2
 
< 0.1%
60018 4
 
< 0.1%
60022 1
 
< 0.1%
60035 3
 
< 0.1%
ValueCountFrequency (%)
90504 1
 
< 0.1%
90067 1
 
< 0.1%
60827 220
 
0.1%
60805 4
 
< 0.1%
60804 9
 
< 0.1%
60803 3
 
< 0.1%
60714 7
 
< 0.1%
60707 1542
0.6%
60706 4
 
< 0.1%
60666 3336
1.2%

Inspection Date
Date

Distinct3564
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
Minimum2010-01-04 00:00:00
Maximum2024-02-14 00:00:00
2024-02-15T11:46:17.446282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:17.507041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Type
Text

Distinct110
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size2.0 MiB
2024-02-15T11:46:17.558720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length7
Mean length10.645645
Min length3

Characters and Unicode

Total characters2848796
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)< 0.1%

Sample

1st rowCanvass Re-Inspection
2nd rowLicense Re-Inspection
3rd rowCanvass
4th rowCanvass Re-Inspection
5th rowLicense Re-Inspection
ValueCountFrequency (%)
canvass 168555
49.3%
re-inspection 51815
 
15.1%
license 47227
 
13.8%
complaint 44289
 
12.9%
short 8425
 
2.5%
form 8425
 
2.5%
non-inspection 2827
 
0.8%
suspected 1190
 
0.3%
food 1190
 
0.3%
poisoning 1190
 
0.3%
Other values (122) 7061
 
2.1%
2024-02-15T11:46:17.685758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 445016
15.6%
a 384726
13.5%
n 378673
13.3%
C 213964
 
7.5%
e 208233
 
7.3%
v 169283
 
5.9%
i 151919
 
5.3%
o 127688
 
4.5%
t 111693
 
3.9%
c 105556
 
3.7%
Other values (51) 552045
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2318911
81.4%
Uppercase Letter 398307
 
14.0%
Space Separator 74592
 
2.6%
Dash Punctuation 55589
 
2.0%
Decimal Number 1245
 
< 0.1%
Close Punctuation 67
 
< 0.1%
Open Punctuation 66
 
< 0.1%
Other Punctuation 19
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 445016
19.2%
a 384726
16.6%
n 378673
16.3%
e 208233
9.0%
v 169283
 
7.3%
i 151919
 
6.6%
o 127688
 
5.5%
t 111693
 
4.8%
c 105556
 
4.6%
p 100977
 
4.4%
Other values (13) 135147
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 213964
53.7%
I 54969
 
13.8%
R 53001
 
13.3%
L 48185
 
12.1%
F 10925
 
2.7%
S 9883
 
2.5%
N 3059
 
0.8%
T 1585
 
0.4%
P 1296
 
0.3%
O 441
 
0.1%
Other values (13) 999
 
0.3%
Decimal Number
ValueCountFrequency (%)
4 359
28.8%
1 313
25.1%
7 306
24.6%
5 255
20.5%
8 5
 
0.4%
0 5
 
0.4%
6 1
 
0.1%
3 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 15
78.9%
. 3
 
15.8%
' 1
 
5.3%
Space Separator
ValueCountFrequency (%)
74592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55589
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2717218
95.4%
Common 131578
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 445016
16.4%
a 384726
14.2%
n 378673
13.9%
C 213964
7.9%
e 208233
7.7%
v 169283
 
6.2%
i 151919
 
5.6%
o 127688
 
4.7%
t 111693
 
4.1%
c 105556
 
3.9%
Other values (36) 420467
15.5%
Common
ValueCountFrequency (%)
74592
56.7%
- 55589
42.2%
4 359
 
0.3%
1 313
 
0.2%
7 306
 
0.2%
5 255
 
0.2%
) 67
 
0.1%
( 66
 
0.1%
/ 15
 
< 0.1%
8 5
 
< 0.1%
Other values (5) 11
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2848796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 445016
15.6%
a 384726
13.5%
n 378673
13.3%
C 213964
 
7.5%
e 208233
 
7.3%
v 169283
 
5.9%
i 151919
 
5.3%
o 127688
 
4.5%
t 111693
 
3.9%
c 105556
 
3.7%
Other values (51) 552045
19.4%

Results
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
Pass
137773 
Fail
52282 
Pass w/ Conditions
40757 
Out of Business
22619 
No Entry
 
10694
Other values (2)
 
3478

Length

Max length20
Median length4
Mean length7.2903929
Min length4

Characters and Unicode

Total characters1950931
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass
2nd rowPass
3rd rowPass
4th rowPass
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 137773
51.5%
Fail 52282
 
19.5%
Pass w/ Conditions 40757
 
15.2%
Out of Business 22619
 
8.5%
No Entry 10694
 
4.0%
Not Ready 3392
 
1.3%
Business Not Located 86
 
< 0.1%

Length

2024-02-15T11:46:17.755987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T11:46:17.814611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pass 178530
43.7%
fail 52282
 
12.8%
w 40757
 
10.0%
conditions 40757
 
10.0%
business 22705
 
5.6%
out 22619
 
5.5%
of 22619
 
5.5%
no 10694
 
2.6%
entry 10694
 
2.6%
not 3478
 
0.9%
Other values (2) 3478
 
0.9%

Most occurring characters

ValueCountFrequency (%)
s 465932
23.9%
a 234290
12.0%
P 178530
 
9.2%
i 156501
 
8.0%
141010
 
7.2%
o 118391
 
6.1%
n 114913
 
5.9%
t 77634
 
4.0%
l 52282
 
2.7%
F 52282
 
2.7%
Other values (16) 359166
18.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1423927
73.0%
Uppercase Letter 345237
 
17.7%
Space Separator 141010
 
7.2%
Other Punctuation 40757
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 465932
32.7%
a 234290
16.5%
i 156501
 
11.0%
o 118391
 
8.3%
n 114913
 
8.1%
t 77634
 
5.5%
l 52282
 
3.7%
u 45324
 
3.2%
d 44235
 
3.1%
w 40757
 
2.9%
Other values (5) 73668
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
P 178530
51.7%
F 52282
 
15.1%
C 40757
 
11.8%
B 22705
 
6.6%
O 22619
 
6.6%
N 14172
 
4.1%
E 10694
 
3.1%
R 3392
 
1.0%
L 86
 
< 0.1%
Space Separator
ValueCountFrequency (%)
141010
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 40757
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1769164
90.7%
Common 181767
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 465932
26.3%
a 234290
13.2%
P 178530
 
10.1%
i 156501
 
8.8%
o 118391
 
6.7%
n 114913
 
6.5%
t 77634
 
4.4%
l 52282
 
3.0%
F 52282
 
3.0%
u 45324
 
2.6%
Other values (14) 273085
15.4%
Common
ValueCountFrequency (%)
141010
77.6%
/ 40757
 
22.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1950931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 465932
23.9%
a 234290
12.0%
P 178530
 
9.2%
i 156501
 
8.0%
141010
 
7.2%
o 118391
 
6.1%
n 114913
 
5.9%
t 77634
 
4.0%
l 52282
 
2.7%
F 52282
 
2.7%
Other values (16) 359166
18.4%

Violations
Text

MISSING 

Distinct192970
Distinct (%)99.3%
Missing73364
Missing (%)27.4%
Memory size2.0 MiB
2024-02-15T11:46:19.403794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11620
Median length5021
Mean length1221.1861
Min length30

Characters and Unicode

Total characters237201973
Distinct characters100
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192053 ?
Unique (%)98.9%

Sample

1st row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14 OBSERVED NO HAND WASHING SIGN AT THE REAR HAND WASHING SINK. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE MANAGER ON DUTY WITHOUT STATE ALERGENT CERTIFICATE. INSTRUCTED ALL MANAGERS MUST MEET REQUIREMENTS.
2nd row23. PROPER DATE MARKING AND DISPOSITION - Comments: 3-501.17 OBSERVED READY-TO-EAT TCS FOODS (MACARONI SALAD) IN A REFRIGERATOR WITHOUT LABELS CONTAINING THE PRODUCT DISCARD DATE. INSTRUCTED TO PROVIDE LABELS WITH PRODUCT DISCARD DATES FOR ALL TCS RTE FOODS THAT ARE HELD FOR MORE THAN 24 HOURS IN A REFRIGERATOR. PRIORITY FOUNDATION. CITATION ISSUED 7-38-005. | 37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SPICES/DRY STORAGE (RICE) OUT OF THE ORIGINAL PACKAGING IN CONTAINERS WITHOUT LABELS. INSTRUCTED TO LABEL ALL SPICE/DRY STORAGE CONTAINERS. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.111 OBSERVED EVIDENCE OF RODENT ACTIVITY ON SITE. OBSERVED ABOUT 200 RODENT DROPPINGS LOCATED BEHIND THE COOKING EQUIPMENT AND UNDER ALL DRY STORAGE SHELVES. OBSERVED ABOUT 150 RODENT DROPPINGS IN THE HOT WATER HEATER ROOM, BEHIND REACH IN FREEZERS, AND REFRIGERATION UNITS. OBSERVED ABOUT 100 RODENT DROPPINGS INSIDE OF ALL FRYERS. INSTRUCTED TO ELIMINATE RODENT ACTIVITY, CLEAN AND SANITIZE AFFECTED AREAS AND RECOMMENDED CONTACTING PEST CONTROL FOR A SERVICE. PRIORITY FOUNDATION. CITATION ISSUED 7-38-020(A). | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-202.15 OBSERVED FRONT ENTRANCE DOOR WITH A 1/4 INCH GAP AT THE BOTTOM. INSTRUCTED TO MAKE SAID FRONT ENTRANCE DOOR RODENT PROOFED AND TIGHT FITTING. | 45. SINGLE-USE/SINGLE-SERVICE ARTICLES: PROPERLY STORED & USED - Comments: 4-502.13 OBSERVED SINGLE-USE CONTAINERS (SOY SAUCE CONTAINERS) AND SINGLE-USE GROCERY BAGS BEING USED FOR FOOD STORAGE IN THE REACH-IN FREEZERS AND THE WALK-IN COOLER. INSTRUCTED TO ONLY USE FOOD-GRADE STORAGE CONTAINERS AND FOOD-GRADE STORAGE BAGS FOR ALL FOOD STORAGE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ALL NON-FOOD CONTACT SURFACES WITH EXCESSIVE ACCUMULATED FOOD DEBRIS LOCATED ON THE HANDLES OF ALL REFRIGERATION UNITS AND PREP COOLERS, INTERIOR OF ALL REFRIGERATION UNITS AND PREP COOLERS, CUTTING BOARDS WITH DARK GROOVES USED FOR SALAD PREPARATION, INTERIOR OF ALL FRYERS WITH EXCESSIVE ACCUMULATED FOOD AND GREASE DEBRIS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: 5-501.17 OBSERVED NO COVERED RECEPTACLES INSIDE REAR EMPLOYEE'S TOILET ROOMS. INSTRUCTED TO PROVIDE. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: 5-501.113 OBSERVED FACILITY USING SINGLE-USE FOOD STORAGE CONTAINERS FOR FOOD PREP AREA RECEPTACLES AND WITHOUT LIDS. INSTRUCTED ALL REFUSE RECEPTACLES SHALL BE KEPT COVERED AND NOT SINGLE-USE FOOD STORAGE CONTAINERS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.114 OBSERVED EXCESSIVE CLUTTER THROUGHOUT THE FOOD PREP AREA. INSTRUCTED TO ORGANIZE AND - OR REMOVE ALL CLUTTER. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.12 OBSERVED FLOORS THROUGHOUT THE FOOD PREP AREA WITH ACCUMULATED DIRT DEBRIS ALONG THE WALLS AND IN ALL CORNERS, ACCUMULATED GREASE AND FOOD DEBRIS UNDER ALL COOKING EQUIPMENT. OBSERVED ACCUMULATED DUST ON THE WALLS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER ON DUTY WITHOUT AN ALLERGEN TRAINING CERTIFICATE. INSTRUCTED TO MEET REQUIREMENTS. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 8-304.11(A) OBSERVED NO MOST RECENT INSPECTION REPORT SUMMARY NOT POSTED FOR THE PUBLIC'S VIEW. INSTRUCTED ALWAYS TO POST THE MOST RECENT INSPECTION REPORT SUMMARY FOR THE PUBLIC'S VIEW AT ALL TIMES. PRIORITY FOUNDATION. CITATION ISSUED 7-42-010(B).
3rd row48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED 3-COMPARTMENT SINK NOT IN PROPER WORKING ORDER. WHEN WATER IS DRAINED IN ONE COMPARTMENT, ANOTHER ONE FLOODS BEFORE GOING BACK DOWN. INSTRUCTED MANAGER TO SERVICE 3-COMPARTMENT SINK. PRIORITY FOUNDATION VIOLATION 7-38-025 CITATION ISSUED.
4th row55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED LEAK FROM CEILING ABOVE SERVING STATION ON FLOOR 6. INSRUCTED MANAGER TO REPAIR. | 60. PREVIOUS CORE VIOLATION CORRECTED - Comments: OBSERVED PREVIOUS CORE VIOLATION NOT CORRECTED WITHIN SPECIFIED TIMEFRAME. REPORT #2572863 DATED MARCH 21 2023 INSTRUCTED FACILITY TO INSTALL GREASE TRAP FOR 3 COMPARTMENT SINK IN BASEMENT KITCHEN. OBSERVED 3 COMPARTMENT SINK IN BASEMENT KITCHEN WITH NO GREASE TRAP. INSTRUCTED MANAGER TO RESOLVE PREVIOUS CORE VIOLATION. PRIORITY FOUNDATION VIOLATION 7-42-090 NO CITATION ISSUED.
5th row55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED BROKEN WALL BASE IN PREP AREA UNDERNEATH CABINETS AND NEAR STORAGE CART. INSTRUCTED TO REPAIR OR REPLACE.
ValueCountFrequency (%)
1837575
 
5.1%
and 1678526
 
4.7%
comments 899430
 
2.5%
the 828459
 
2.3%
in 754425
 
2.1%
to 705269
 
2.0%
of 647655
 
1.8%
food 630035
 
1.8%
clean 565810
 
1.6%
must 409657
 
1.1%
Other values (196468) 26766481
74.9%
2024-02-15T11:46:20.813926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36319052
15.3%
E 19588243
 
8.3%
N 13652461
 
5.8%
O 13571816
 
5.7%
A 13194485
 
5.6%
T 12848839
 
5.4%
I 12541970
 
5.3%
R 11571593
 
4.9%
S 10530514
 
4.4%
D 9236579
 
3.9%
Other values (90) 84146421
35.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 163425016
68.9%
Space Separator 36319052
 
15.3%
Lowercase Letter 23284142
 
9.8%
Other Punctuation 6961707
 
2.9%
Decimal Number 4165605
 
1.8%
Dash Punctuation 1974805
 
0.8%
Math Symbol 684636
 
0.3%
Open Punctuation 185344
 
0.1%
Close Punctuation 183184
 
0.1%
Currency Symbol 13992
 
< 0.1%
Other values (4) 4490
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2949002
12.7%
n 2313544
9.9%
o 2296613
9.9%
t 2164770
9.3%
m 2090372
9.0%
s 2029491
8.7%
a 1526209
 
6.6%
l 1154956
 
5.0%
i 1135659
 
4.9%
r 986277
 
4.2%
Other values (17) 4637249
19.9%
Uppercase Letter
ValueCountFrequency (%)
E 19588243
12.0%
N 13652461
 
8.4%
O 13571816
 
8.3%
A 13194485
 
8.1%
T 12848839
 
7.9%
I 12541970
 
7.7%
R 11571593
 
7.1%
S 10530514
 
6.4%
D 9236579
 
5.7%
L 7655627
 
4.7%
Other values (16) 39032889
23.9%
Other Punctuation
ValueCountFrequency (%)
. 2993103
43.0%
, 1877956
27.0%
: 1378374
19.8%
& 232493
 
3.3%
/ 231973
 
3.3%
; 116123
 
1.7%
# 59923
 
0.9%
' 52062
 
0.7%
* 15485
 
0.2%
@ 2721
 
< 0.1%
Other values (5) 1494
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 890059
21.4%
0 613661
14.7%
5 506315
12.2%
1 498316
12.0%
4 397234
9.5%
2 395795
9.5%
8 309876
 
7.4%
7 280729
 
6.7%
6 167691
 
4.0%
9 105929
 
2.5%
Math Symbol
ValueCountFrequency (%)
| 684241
99.9%
= 292
 
< 0.1%
+ 76
 
< 0.1%
> 18
 
< 0.1%
~ 5
 
< 0.1%
< 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 185089
99.9%
[ 243
 
0.1%
{ 12
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 182982
99.9%
] 190
 
0.1%
} 12
 
< 0.1%
Control
ValueCountFrequency (%)
3919
99.9%
 2
 
0.1%
 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 13
81.2%
^ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
36319052
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1974805
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13992
100.0%
Other Number
ValueCountFrequency (%)
½ 483
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 186709158
78.7%
Common 50492815
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 19588243
 
10.5%
N 13652461
 
7.3%
O 13571816
 
7.3%
A 13194485
 
7.1%
T 12848839
 
6.9%
I 12541970
 
6.7%
R 11571593
 
6.2%
S 10530514
 
5.6%
D 9236579
 
4.9%
L 7655627
 
4.1%
Other values (43) 62317031
33.4%
Common
ValueCountFrequency (%)
36319052
71.9%
. 2993103
 
5.9%
- 1974805
 
3.9%
, 1877956
 
3.7%
: 1378374
 
2.7%
3 890059
 
1.8%
| 684241
 
1.4%
0 613661
 
1.2%
5 506315
 
1.0%
1 498316
 
1.0%
Other values (37) 2756933
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237200524
> 99.9%
None 1449
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36319052
15.3%
E 19588243
 
8.3%
N 13652461
 
5.8%
O 13571816
 
5.7%
A 13194485
 
5.6%
T 12848839
 
5.4%
I 12541970
 
5.3%
R 11571593
 
4.9%
S 10530514
 
4.4%
D 9236579
 
3.9%
Other values (87) 84144972
35.5%
None
ValueCountFrequency (%)
ï 483
33.3%
¿ 483
33.3%
½ 483
33.3%

Latitude
Real number (ℝ)

HIGH CORRELATION 

Distinct18211
Distinct (%)6.8%
Missing924
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean41.880731
Minimum41.64467
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-15T11:46:20.897009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.64467
5-th percentile41.726917
Q141.831831
median41.89177
Q341.939785
95-th percentile41.997516
Maximum42.021064
Range0.37639412
Interquartile range (IQR)0.10795422

Descriptive statistics

Standard deviation0.081070003
Coefficient of variation (CV)0.0019357351
Kurtosis-0.35408336
Mean41.880731
Median Absolute Deviation (MAD)0.050608465
Skewness-0.58981541
Sum11168711
Variance0.0065723453
MonotonicityNot monotonic
2024-02-15T11:46:20.970358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 3291
 
1.2%
41.78932932 767
 
0.3%
41.88418751 597
 
0.2%
41.85045102 584
 
0.2%
41.88199434 584
 
0.2%
41.88743405 480
 
0.2%
41.88458627 377
 
0.1%
41.88807428 369
 
0.1%
41.89209414 368
 
0.1%
41.75466012 342
 
0.1%
Other values (18201) 258920
96.8%
(Missing) 924
 
0.3%
ValueCountFrequency (%)
41.64467013 13
< 0.1%
41.64566748 4
 
< 0.1%
41.64637082 7
< 0.1%
41.64655405 2
 
< 0.1%
41.64818878 9
< 0.1%
41.64863829 6
 
< 0.1%
41.64868838 3
 
< 0.1%
41.64874251 2
 
< 0.1%
41.64881845 3
 
< 0.1%
41.64936399 17
< 0.1%
ValueCountFrequency (%)
42.02106425 25
< 0.1%
42.02086075 16
< 0.1%
42.02080848 16
< 0.1%
42.02075289 7
 
< 0.1%
42.02039924 1
 
< 0.1%
42.02008731 15
< 0.1%
42.01986688 21
< 0.1%
42.01958216 20
< 0.1%
42.019494 5
 
< 0.1%
42.0194929 1
 
< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION 

Distinct18211
Distinct (%)6.8%
Missing924
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-87.676339
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative266679
Negative (%)99.7%
Memory size2.0 MiB
2024-02-15T11:46:21.035699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.777776
Q1-87.707517
median-87.666419
Q3-87.634942
95-th percentile-87.59954
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.072575797

Descriptive statistics

Standard deviation0.058260207
Coefficient of variation (CV)-0.00066449178
Kurtosis2.0976425
Mean-87.676339
Median Absolute Deviation (MAD)0.034445649
Skewness-0.97642782
Sum-23381438
Variance0.0033942517
MonotonicityNot monotonic
2024-02-15T11:46:21.099081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 3291
 
1.2%
-87.74164564 767
 
0.3%
-87.64111967 597
 
0.2%
-87.65879786 584
 
0.2%
-87.63975868 584
 
0.2%
-87.68184949 480
 
0.2%
-87.63101045 377
 
0.1%
-87.6349552 369
 
0.1%
-87.61156988 368
 
0.1%
-87.74138476 342
 
0.1%
Other values (18201) 258920
96.8%
(Missing) 924
 
0.3%
ValueCountFrequency (%)
-87.90687413 3291
1.2%
-87.90675786 3
 
< 0.1%
-87.90530913 12
 
< 0.1%
-87.88270766 2
 
< 0.1%
-87.86695767 1
 
< 0.1%
-87.86302998 25
 
< 0.1%
-87.86237264 9
 
< 0.1%
-87.84631989 11
 
< 0.1%
-87.84631558 2
 
< 0.1%
-87.8463105 1
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 12
< 0.1%
-87.52512485 16
< 0.1%
-87.52571243 4
 
< 0.1%
-87.5258717 19
< 0.1%
-87.5261364 9
< 0.1%
-87.52664793 20
< 0.1%
-87.52667081 11
< 0.1%
-87.52694018 16
< 0.1%
-87.52749847 2
 
< 0.1%
-87.52770401 3
 
< 0.1%

Location
Text

Distinct18211
Distinct (%)6.8%
Missing924
Missing (%)0.3%
Memory size2.0 MiB
2024-02-15T11:46:21.197732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.059671
Min length34

Characters and Unicode

Total characters10416394
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1593 ?
Unique (%)0.6%

Sample

1st row(41.852142589161744, -87.68536057746589)
2nd row(41.90292929858984, -87.70804857041449)
3rd row(41.90598597077873, -87.69680735572291)
4th row(41.91588633998172, -87.67449563016454)
5th row(41.898687455164605, -87.66721715934328)
ValueCountFrequency (%)
42.00875076599798 3291
 
0.6%
87.90687413400109 3291
 
0.6%
41.789329323265385 767
 
0.1%
87.74164564419637 767
 
0.1%
41.884187507127805 597
 
0.1%
87.64111966683218 597
 
0.1%
41.85045102427 584
 
0.1%
87.65879785567869 584
 
0.1%
41.88199433820508 584
 
0.1%
87.6397586848809 584
 
0.1%
Other values (36412) 521712
97.8%
2024-02-15T11:46:21.351465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1078779
10.4%
7 1072019
10.3%
4 988945
9.5%
1 924280
8.9%
6 905839
8.7%
9 808808
7.8%
5 730309
 
7.0%
2 702764
 
6.7%
3 688604
 
6.6%
0 649294
 
6.2%
Other values (6) 1866753
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8549641
82.1%
Other Punctuation 800037
 
7.7%
Open Punctuation 266679
 
2.6%
Space Separator 266679
 
2.6%
Dash Punctuation 266679
 
2.6%
Close Punctuation 266679
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1078779
12.6%
7 1072019
12.5%
4 988945
11.6%
1 924280
10.8%
6 905839
10.6%
9 808808
9.5%
5 730309
8.5%
2 702764
8.2%
3 688604
8.1%
0 649294
7.6%
Other Punctuation
ValueCountFrequency (%)
. 533358
66.7%
, 266679
33.3%
Open Punctuation
ValueCountFrequency (%)
( 266679
100.0%
Space Separator
ValueCountFrequency (%)
266679
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266679
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266679
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10416394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1078779
10.4%
7 1072019
10.3%
4 988945
9.5%
1 924280
8.9%
6 905839
8.7%
9 808808
7.8%
5 730309
 
7.0%
2 702764
 
6.7%
3 688604
 
6.6%
0 649294
 
6.2%
Other values (6) 1866753
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10416394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1078779
10.4%
7 1072019
10.3%
4 988945
9.5%
1 924280
8.9%
6 905839
8.7%
9 808808
7.8%
5 730309
 
7.0%
2 702764
 
6.7%
3 688604
 
6.6%
0 649294
 
6.2%
Other values (6) 1866753
17.9%

Interactions

2024-02-15T11:46:13.930690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:11.591853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:12.988169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.305533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.618025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.988955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:12.698811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.049365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.362847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.678430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:14.047624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:12.769941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.116007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.424196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.746916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:14.105546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:12.833751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.183322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.485735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.807723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:14.166221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:12.916634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.247660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.555841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-15T11:46:13.868887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-02-15T11:46:21.411328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Inspection IDLatitudeLicense #LongitudeResultsRiskStateZip
Inspection ID1.0000.0230.435-0.0010.1210.0670.0000.000
Latitude0.0231.000-0.012-0.4200.0350.0641.0000.277
License #0.435-0.0121.0000.0240.0560.0340.000-0.010
Longitude-0.001-0.4200.0241.0000.0320.0401.000-0.414
Results0.1210.0350.0560.0321.0000.1200.000-0.017
Risk0.0670.0640.0340.0400.1201.0000.0040.002
State0.0001.0000.0001.0000.0000.0041.000-0.011
Zip0.0000.277-0.010-0.414-0.0170.002-0.0111.000

Missing values

2024-02-15T11:46:14.379318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-15T11:46:14.727684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-15T11:46:15.248546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02589562SUBWAY SANDWICH & SALADSUBWAY SANDWICH & SALAD1243910.0RestaurantRisk 1 (High)2352 W CERMAK RDCHICAGOIL60608.002/14/2024Canvass Re-InspectionPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14 OBSERVED NO HAND WASHING SIGN AT THE REAR HAND WASHING SINK. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE MANAGER ON DUTY WITHOUT STATE ALERGENT CERTIFICATE. INSTRUCTED ALL MANAGERS MUST MEET REQUIREMENTS.41.852143-87.685361(41.852142589161744, -87.68536057746589)
12589515GEORGE E TAYLOR CHILD DEVELOPMENT CENTERGEORGE E TAYLOR CHILD DEVELOPMENT CENTER2221191.0Daycare (2 - 6 Years)Risk 1 (High)3232 W DIVISION STCHICAGOIL60651.002/13/2024License Re-InspectionPassNaN41.902929-87.708049(41.90292929858984, -87.70804857041449)
22589485CASA CENTRAL COMMUNITY SERVICECASA CENTRAL COMMUNITY SERVICE60765.0RestaurantRisk 1 (High)1343 N CALIFORNIA AVECHICAGOIL60622.002/13/2024CanvassPassNaN41.905986-87.696807(41.90598597077873, -87.69680735572291)
32589428DrummondDrummond23021.0SchoolRisk 1 (High)1845 W Cortland STCHICAGOIL60622.002/09/2024Canvass Re-InspectionPassNaN41.915886-87.674496(41.91588633998172, -87.67449563016454)
42589436STICKY KISSSTICKY KISS2951643.0RestaurantRisk 2 (Medium)925 N ASHLAND AVECHICAGOIL60622.002/09/2024License Re-InspectionPassNaN41.898687-87.667217(41.898687455164605, -87.66721715934328)
52589441Laxi LiquorLaxi Liquor47780.0Grocery StoreRisk 3 (Low)6922 W GRAND AVECHICAGOIL60707.002/09/2024CanvassOut of BusinessNaN41.923681-87.798676(41.923680700297396, -87.79867612863558)
62589416BOBBY E WRIGHTCRISIS HOUSE0.0SHELTERRisk 1 (High)3525 W JACKSONCHICAGOIL60624.002/09/2024Complaint Re-InspectionPassNaN41.877118-87.714513(41.87711784411623, -87.71451339605315)
72589377BIG BOSS SPICY FRIED CHICKENBIG BOSS SPICY FRIED CHICKEN2807954.0RestaurantRisk 1 (High)2520 S HALSTED STCHICAGOIL60608.002/08/2024CanvassFail23. PROPER DATE MARKING AND DISPOSITION - Comments: 3-501.17 OBSERVED READY-TO-EAT TCS FOODS (MACARONI SALAD) IN A REFRIGERATOR WITHOUT LABELS CONTAINING THE PRODUCT DISCARD DATE. INSTRUCTED TO PROVIDE LABELS WITH PRODUCT DISCARD DATES FOR ALL TCS RTE FOODS THAT ARE HELD FOR MORE THAN 24 HOURS IN A REFRIGERATOR. PRIORITY FOUNDATION. CITATION ISSUED 7-38-005. | 37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SPICES/DRY STORAGE (RICE) OUT OF THE ORIGINAL PACKAGING IN CONTAINERS WITHOUT LABELS. INSTRUCTED TO LABEL ALL SPICE/DRY STORAGE CONTAINERS. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.111 OBSERVED EVIDENCE OF RODENT ACTIVITY ON SITE. OBSERVED ABOUT 200 RODENT DROPPINGS LOCATED BEHIND THE COOKING EQUIPMENT AND UNDER ALL DRY STORAGE SHELVES. OBSERVED ABOUT 150 RODENT DROPPINGS IN THE HOT WATER HEATER ROOM, BEHIND REACH IN FREEZERS, AND REFRIGERATION UNITS. OBSERVED ABOUT 100 RODENT DROPPINGS INSIDE OF ALL FRYERS. INSTRUCTED TO ELIMINATE RODENT ACTIVITY, CLEAN AND SANITIZE AFFECTED AREAS AND RECOMMENDED CONTACTING PEST CONTROL FOR A SERVICE. PRIORITY FOUNDATION. CITATION ISSUED 7-38-020(A). | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-202.15 OBSERVED FRONT ENTRANCE DOOR WITH A 1/4 INCH GAP AT THE BOTTOM. INSTRUCTED TO MAKE SAID FRONT ENTRANCE DOOR RODENT PROOFED AND TIGHT FITTING. | 45. SINGLE-USE/SINGLE-SERVICE ARTICLES: PROPERLY STORED & USED - Comments: 4-502.13 OBSERVED SINGLE-USE CONTAINERS (SOY SAUCE CONTAINERS) AND SINGLE-USE GROCERY BAGS BEING USED FOR FOOD STORAGE IN THE REACH-IN FREEZERS AND THE WALK-IN COOLER. INSTRUCTED TO ONLY USE FOOD-GRADE STORAGE CONTAINERS AND FOOD-GRADE STORAGE BAGS FOR ALL FOOD STORAGE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ALL NON-FOOD CONTACT SURFACES WITH EXCESSIVE ACCUMULATED FOOD DEBRIS LOCATED ON THE HANDLES OF ALL REFRIGERATION UNITS AND PREP COOLERS, INTERIOR OF ALL REFRIGERATION UNITS AND PREP COOLERS, CUTTING BOARDS WITH DARK GROOVES USED FOR SALAD PREPARATION, INTERIOR OF ALL FRYERS WITH EXCESSIVE ACCUMULATED FOOD AND GREASE DEBRIS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: 5-501.17 OBSERVED NO COVERED RECEPTACLES INSIDE REAR EMPLOYEE'S TOILET ROOMS. INSTRUCTED TO PROVIDE. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: 5-501.113 OBSERVED FACILITY USING SINGLE-USE FOOD STORAGE CONTAINERS FOR FOOD PREP AREA RECEPTACLES AND WITHOUT LIDS. INSTRUCTED ALL REFUSE RECEPTACLES SHALL BE KEPT COVERED AND NOT SINGLE-USE FOOD STORAGE CONTAINERS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.114 OBSERVED EXCESSIVE CLUTTER THROUGHOUT THE FOOD PREP AREA. INSTRUCTED TO ORGANIZE AND - OR REMOVE ALL CLUTTER. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.12 OBSERVED FLOORS THROUGHOUT THE FOOD PREP AREA WITH ACCUMULATED DIRT DEBRIS ALONG THE WALLS AND IN ALL CORNERS, ACCUMULATED GREASE AND FOOD DEBRIS UNDER ALL COOKING EQUIPMENT. OBSERVED ACCUMULATED DUST ON THE WALLS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER ON DUTY WITHOUT AN ALLERGEN TRAINING CERTIFICATE. INSTRUCTED TO MEET REQUIREMENTS. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 8-304.11(A) OBSERVED NO MOST RECENT INSPECTION REPORT SUMMARY NOT POSTED FOR THE PUBLIC'S VIEW. INSTRUCTED ALWAYS TO POST THE MOST RECENT INSPECTION REPORT SUMMARY FOR THE PUBLIC'S VIEW AT ALL TIMES. PRIORITY FOUNDATION. CITATION ISSUED 7-42-010(B).41.846381-87.646613(41.84638121795965, -87.64661301435865)
82589362BARTOLI'S PIZZERIABARTOLI'S PIZZERIA2709388.0RestaurantRisk 1 (High)658 N ASHLAND AVECHICAGOIL60622.002/08/2024CanvassFail48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED 3-COMPARTMENT SINK NOT IN PROPER WORKING ORDER. WHEN WATER IS DRAINED IN ONE COMPARTMENT, ANOTHER ONE FLOODS BEFORE GOING BACK DOWN. INSTRUCTED MANAGER TO SERVICE 3-COMPARTMENT SINK. PRIORITY FOUNDATION VIOLATION 7-38-025 CITATION ISSUED.41.894209-87.667382(41.894208809612294, -87.66738222845791)
92589341BurkeBurke22411.0SchoolRisk 1 (High)5356 S DR MARTIN LUTHER KING JR DRCHICAGOIL60615.002/08/2024CanvassPassNaN41.796793-87.616178(41.79679284535837, -87.61617809193172)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
26759358271CarpenterCarpenter22561.0SchoolRisk 1 (High)1250 W Erie STCHICAGOIL60622.001/25/2010CanvassPass32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair.PEELING PAINT ON MULTI-USE ITENSIL HANGING RACK AT FOOD PREP TABLE MUST REPAIR. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair.FLOORS IN UTILITY MOP SINK CLOSETS REQUIRE DETAIL CLEANING. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health.EXHAUST FAN ON KITCHEN WALL REQUIRES DETAIL CLEANING.41.893576-87.659367(41.893575701813866, -87.65936675601802)
267594118299HALSTED FOODSHALSTED FOODS1842450.0Grocery StoreRisk 2 (Medium)3418 S HALSTED STCHICAGOIL60608.001/06/2010Short Form ComplaintFail16. FOOD PROTECTED DURING STORAGE, PREPARATION, DISPLAY, SERVICE AND TRANSPORTATION - Comments: All food should be properly protected from contamination during storage, preparation, display, service, and transportation. FOUND MEAT SAW BLADE ENCRUSTED WITH DRY AND FRESH RAW BEEF/PORK THROUGHOUT SAID BLADE AT BUTCHER PREP AREA. INSTRUCTED TO CLEAN AND SANITIZE SAID MEAT SAW BLADE BEFORE REUSING FOR RAW FRESH MEATS. SERIOUS 7-38-005(A) ISSUED. | 18. NO EVIDENCE OF RODENT OR INSECT OUTER OPENINGS PROTECTED/RODENT PROOFED, A WRITTEN LOG SHALL BE MAINTAINED AVAILABLE TO THE INSPECTORS - Comments: All necessary control measures shall be used to effectively minimize or eliminate the presence of rodents, roaches, and other vermin and insects on the premises of all food establishments, in food-transporting vehicles, and in vending machines. FOUND FRONT ENTRANCE DOOR NOT RODENT PROOFED, APPROXIMATELY 1/4 INCH GAP UNDER SAID DOOR AT RIGHT SIDE AND REAR EXIT DOORS LEADING TO OUTSIDE GARBAGE AREA WITH 1/4 INCH GAP BETWEEN DOORS. INSTRUCTED TO RODENT AND INSECT PROOF SAID DOORS AND MAKE TIGHT FITTING. INCOMPLETE PEST CONTROL LOG BOOK. INSTRUCTED TO PROVIDE ALL REQUIRED DOCUMENTATION IN CURRENT LOG BOOK AND MAINTAIN. ALSO, FOUND 5-7 MOUSE DROPPINGS AT REAR BAKERY AREA ALONG WALL. SERIOUS 7-38-020 ISSUED. | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. INSTRUCTED TO DEFROST CHEST FREEZER, WALK IN FREEZER, AND REMOVE ICE BUILDUP AT COMPRESSORS ABOVE BUTCHER PREP AREA. INSTRUCTED TO PAINT RUSTED SHELVES, RACKS, EQUIPMENT, EXTERIOR GREASE TRAPS. INSTRUCTED TO REMOVE CARDBOARD LINING AND PAPER LINING FROM SHELVES/RACKS. | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. INSTRUCTED TO DETAIL CLEAN AND SANITIZE TEH FOLLOWING: SHELVES IN FOOD AISLES, REACH IN COOLERS, WALK IN COOLER, SHELVES/RACKS THROUGHOUT PREMISES, FAN GRID COVERS, WALL AND CEILING AT BAKERY AREA, LIGHT SHIELDS, CASHIER CUBICLES, UNDER, AROUND ALL ITEMS AND EQUIPMENT TO REMOVE DUST, DIRT, DEBRIS, ETC. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. INSTRUCTED TO REPAIR CRACKED FLOOR TILES AND PROVIDE FLOOR TILES FOR MISSING SECTIONS AT STORAGE AND PREP AREAS. INSTRUCTED TO REMOVE STANDING WATER BY UTILITY SINK. FLOORS ALONG WALL BASE MUST BE DETAIL CLEANED AND MAINTINED. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. INSTRUCTED TO REPAIR WALL SECTIONS AROUND PREP TABLES, THREE COMPARTMENT SINK, CLEAN WALLS IN TOILET ROOMS AND WALLS AT WAREHOUSE AREA WITH SPILLS. | 36. LIGHTING: REQUIRED MINIMUM FOOT-CANDLES OF LIGHT PROVIDED, FIXTURES SHIELDED - Comments: Shielding to protect against broken glass falling into food shall be provided for all artificial lighting sources in preparation, service, and display facilities. INSTRUCTED TO PROVIDE LIGHT SHIELDS WITH END CAPS ABOVE DELI PREP AREA. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health. INSTRUCTED TO PROVIDE VENTILATION IN TOILET ROOOMS. INSTRUCTED TO PROVIDE PROPERLY CONNECTED FAUCET WITH HOT AND COLD RUNNING WATER AT UTILITY SINK AND DRAIN TO FLOOR DRAIN. INSTRUCTED TO PROVIDE BACKFLOW PREVENTION DEVICE AT FAUCET AT UTILITY SINK. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: All parts of the food establishment and all parts of the property used in connection with the operation of the establishment shall be kept neat and clean and should not produce any offensive odors. INSTRUCTED TO CLEAN AROUND OUTSIDE GARBAGE AREA TO REMOVE DEBRIS AND REMOVE UNSUSED EQUIPMENT FROM PREMISES TO PREVENT PEST HARBORAGE. INSTRUCTED TO ELEVATE ALL ITEMS 6 INCHES OFF THE FLOOR AND AWAY FROM THE WALL. INSTRUCTED TO REMOVE COFFEE GRINDER AT FRONT CASHIER AND OR RELOCATE TO HAND SINK ACCESSIBLE FOR HANDWASHING.41.832144-87.646284(41.83214360513917, -87.64628396417302)
26759568023THE BLEEDING HEART BAKERYTHE BLEEDING HEART BAKERY1874242.0BakeryRisk 1 (High)1955 W BELMONT AVECHICAGOIL60657.001/26/2010Complaint Re-InspectionPass33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. DETAIL CLEAN THE WIRE STORAGE RACKS IN THE WALK-IN COOLER. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: All parts of the food establishment and all parts of the property used in connection with the operation of the establishment shall be kept neat and clean and should not produce any offensive odors. OBSERVED EXCEESIVE CLUTTER IN THE BASEMENT AREA. REMOVE ANY UNNECESSARY ARTIVLES AND STORE REMAINING ARTICLES AT LEAST 6' OFF OF THE FLOOR.41.939466-87.678082(41.9394659949947, -87.67808189198753)
26759663239SAN JOSE RESTAURANT, INC.SAN JOSE RESTAURANT, INC.1958715.0RestaurantRisk 1 (High)3121 W CERMAK RDCHICAGOIL60623.001/26/2010CanvassPass33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All utensils shall be thoroughly cleaned and sanitized after each usage. MUST CLEAN-SANITIZE; FRONT COOKING AREA STORAGE SHELVES AND COOKING EQUIPMENT. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. MUST CLEAN FLOORS THRU-OUT BASEMENT AND UNDER COOKING EQUIPMENT FRONT COOKING AREA. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. MUST CLEAN HOOD AND FILTERS ABOVE FRONT AREA COOKING EQUIPMENT.41.851674-87.703788(41.85167408577538, -87.7037875274402)
267597134256BORNIQUEN RESTAURANTBORNIQUEN RESTAURANT32942.0RestaurantRisk 1 (High)1720 N CALIFORNIA AVECHICAGOIL60647.001/13/2010Complaint Re-InspectionPassNaN41.912692-87.697205(41.912691923355744, -87.69720455176802)
267598197240CINNABONCINNABON1846783.0NaNRisk 2 (Medium)151 N MICHIGAN AVECHICAGOIL60601.001/27/2010Out of BusinessFailNaN41.884540-87.624309(41.88454011059238, -87.62430852246028)
267599114316HARD ROCK CAFEHARD ROCK CAFE51236.0RestaurantRisk 1 (High)63 W ONTARIO STCHICAGOIL60654.002/03/2010CanvassPass w/ Conditions21. * CERTIFIED FOOD MANAGER ON SITE WHEN POTENTIALLY HAZARDOUS FOODS ARE PREPARED AND SERVED - Comments: A certified food service manager must be present in all establishments at which potentially hazardous food is prepared or served. No City of Chicago certified food handler on premises while potentially hazardous foods (chicken, beans, burgers, etc.) are handled. Must provide and post City of Chicago certificate on premises with certified food handler while potentially hazardous foods are handled. Citation issued, ticket #H000057364 18. | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. Must replace or repair all damaged prep coolers door rubber gaskets. | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. Must clean and maintain interior of all unclean prep coolers. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. Must detail clean and sanitize walls/ceiling throughout Mezzanine side station. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health. Dishmachine sprayer valve leaking. Must repair and maintain.41.893128-87.630563(41.89312775453658, -87.63056251830054)
26760060258HOOK FISH & CHICKEN ON MADISON, INC.HOOK FISH & CHICKEN ON MADISON, INC.1868125.0RestaurantRisk 2 (Medium)3952 W MONROE STCHICAGOIL60624.001/14/2010Complaint Re-InspectionPassNaN41.879875-87.725290(41.8798749138472, -87.7252903599048)
267601120277POLK STREET CO.POLK STREET CO.29507.0RestaurantRisk 1 (High)548 W POLK STCHICAGOIL60607.001/06/2010CanvassFail18. NO EVIDENCE OF RODENT OR INSECT OUTER OPENINGS PROTECTED/RODENT PROOFED, A WRITTEN LOG SHALL BE MAINTAINED AVAILABLE TO THE INSPECTORS - Comments: All necessary control measures shall be used to effectively minimize or eliminate the presence of rodents, roaches, and other vermin and insects on the premises of all food establishments, in food-transporting vehicles, and in vending machines. Over 25 rat droppings were found in the basement perimeter and holes were found under the stairs and in the old cooler insulation. Clean up and remove all evidence of rodent activity. | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. Remove rust from inside the ice machine. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. Clean the floors under the kitchen sink and stoves. Replace the damaged tile under the fryer. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. Complete repairing the rear kitchen wall and ceiling so they are smooth and sanitary. Repair the damaged ceilings in the basement so rodent harborage can be eliminated.41.872113-87.641305(41.87211261426958, -87.64130525460628)
26760278260DR DETON J BROOKS HEADSTARTDR DETON J BROOKS HEADSTART51035.0Daycare Above and Under 2 YearsRisk 1 (High)6921 S STONY ISLAND AVECHICAGOIL60649.001/15/2010CanvassPass34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: SWEEP FLOORS UNDER STORAGE SHELVES IN KITCHEN PANTRY, BETWEEN LOCKERS BY DRINKING WATER DISPENSER AND STORAGE ROOM NEAR CLASSROOM. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: ORGANIZE AND MAINTAIN STORAGE ROOM ACROSS FROM TEACHERS PREP ROOM.41.769129-87.585827(41.76912914412988, -87.58582746167004)